get_troubleshooting_guide

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description implies a read-only fetch operation without additional behavioral details (e.g., authentication, rate limits, side effects). The basic disclosure is adequate but could be richer.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences with clear, front-loaded purpose and an Args section. Every sentence adds value; no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (not shown), the description does not describe the return format. For a simple fetch tool with one parameter, it is mostly complete but could mention what the guide contains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description adds value by listing valid options for the 'topic' parameter: 'setup', 'iam', or 'schema'. This compensates for the schema's lack of enum constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches troubleshooting and setup guides OTA from ga4mcp.com, and lists specific error types it addresses. It distinguishes itself from sibling tools which focus on dimension/metric schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool: 'whenever you encounter a schema error, dimension_filter parse error, IAM / 403 authorization error, or boot-time setup error.' No guidance on when not to use or alternatives, but context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.